At a Glance
- Tasks: Lead data-driven financial strategies using AI to influence key business decisions.
- Company: Join a forward-thinking company at the intersection of finance and technology.
- Benefits: Earn $100-$120 per hour, enjoy remote work flexibility, and gain valuable experience.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact on strategic decisions while working with advanced AI tools.
- Qualifications: Bachelor's or Master's in relevant fields with 3-8 years of experience.
The predicted salary is between 30000 - 40000 £ per year.
This role is for one of our clients. We are seeking a Strategic Finance AI Expert to bridge advanced analytics with high-impact financial decision‑making. This role sits at the intersection of finance, strategy, and artificial intelligence, enabling leadership teams to make faster, data‑driven decisions. The ideal candidate will combine strong financial acumen with hands‑on experience in leveraging AI/ML tools to drive business insights, optimise unit economics, and support executive‑level strategy formulation.
Key Responsibilities
- Business Case Development: Lead the creation of robust, data‑backed business cases for new initiatives, investments, and strategic projects. Translate ambiguous business problems into structured financial models, incorporating AI‑driven forecasting, scenario planning, and sensitivity analysis. Collaborate with cross‑functional teams (product, operations, data science) to validate assumptions and ensure alignment with organisational goals.
- Unit Economics & Profitability Analysis: Own the development and continuous refinement of unit economics frameworks across products, geographies, or customer segments. Use advanced analytics and AI tools to identify profitability drivers, cost optimisation opportunities, and revenue levers. Provide actionable insights on pricing strategies, customer acquisition cost (CAC), lifetime value (LTV), and margin expansion.
- Executive & Board‑Level Decision Support: Partner closely with senior leadership and board members to deliver clear, concise, and insight‑rich financial narratives. Prepare high‑quality materials including dashboards, reports, and presentations that synthesize complex data into strategic recommendations. Support long‑term planning, capital allocation decisions, and performance tracking against strategic objectives.
- AI‑Driven Financial Modelling: Integrate machine learning models and automation tools into financial planning and analysis (FP&A) processes. Enhance forecasting accuracy, automate reporting workflows, and develop predictive models for revenue, costs, and risk. Evaluate and implement emerging AI solutions to improve financial decision‑making efficiency.
- Strategic Insights & Performance Monitoring: Design and track key performance indicators (KPIs) aligned with business strategy. Conduct deep‑dive analyses to identify trends, risks, and opportunities. Act as a thought partner to business leaders, proactively recommending actions to improve financial performance and operational efficiency.
Required Qualifications
- Bachelor's or Master's degree in Finance, Economics, Business, Data Science, or a related field.
- 3‑8 years of experience in strategic finance, consulting, investment banking, or FP&A, with exposure to AI/analytics.
- Strong expertise in financial modelling, valuation techniques, and scenario analysis.
- Hands‑on experience with data tools such as Python, SQL, or advanced Excel; familiarity with AI/ML frameworks is highly preferred.
- Proven ability to translate complex data into clear business insights for senior stakeholders.
- Excellent communication and storytelling skills, especially in executive‑facing contexts.
Preferred Attributes
- Experience in high‑growth or tech‑driven environments.
- Exposure to SaaS, marketplace, or platform business models.
- Ability to work in ambiguous, fast‑paced settings with a high degree of ownership.
Impact
This role offers a unique opportunity to shape strategic decisions by combining financial expertise with cutting‑edge AI capabilities, directly influencing growth, profitability, and long‑term value creation.
Strategic finance AI Expert employer: Weekday AI (YC W21)
Weekday AI offers a dynamic and innovative work environment where molecular biology professionals can thrive. With a strong focus on employee growth and collaboration, the company provides opportunities to engage in groundbreaking projects that merge science and technology. Located in a vibrant area, employees enjoy a supportive culture that values creativity and encourages contributions to next-generation AI models.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic finance AI Expert
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies that highlight your experience with AI and finance. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to strategic finance and AI. We recommend using mock interviews to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Strategic finance AI Expert
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in strategic finance and AI. Use keywords from the job description to show that you understand what we're looking for.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've used AI in financial decision-making and how it led to impactful results.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include projects or experiences where you’ve successfully integrated AI tools into financial models or analyses. We want to see your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Weekday AI (YC W21)
✨Know Your Numbers
Brush up on your financial modelling skills and be ready to discuss specific examples of how you've used data to drive decisions. Make sure you can explain complex financial concepts in simple terms, as you'll need to communicate effectively with senior stakeholders.
✨Showcase Your AI Savvy
Familiarise yourself with the latest AI/ML tools relevant to finance. Be prepared to discuss how you've integrated these technologies into your previous roles, and think of specific instances where they helped improve decision-making or efficiency.
✨Prepare for Scenario Questions
Expect questions that require you to think on your feet. Practice structuring your responses to hypothetical business problems, using frameworks like SWOT analysis or scenario planning. This will demonstrate your strategic thinking and problem-solving abilities.
✨Engage with the Interviewers
Remember, interviews are a two-way street! Prepare insightful questions about the company's strategic goals and how this role fits into them. This shows your genuine interest and helps you assess if the company aligns with your career aspirations.
